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MATH vs PZZA: Correlation

How closely do Metalpha Technology Holding Limited (MATH) and Papa John's International, Inc. (PZZA) trade together? Their weekly returns over three years give a correlation of 0.34, which is moderate.

Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology

Correlation (3Y)
0.34
moderate
Correlation (1Y)
0.12
last 12 months
Correlation (5Y)
0.29
long-run
Ann. covariance
1487.7
%² · weekly, annualized

How correlated are MATH and PZZA?

Across a 3-year window, the weekly returns of MATH and PZZA correlate at 0.34, moderate. The past 12 months show a weaker link (0.12) than the 3-year average (0.34). Stretching to 5 years gives 0.29, with an annualized covariance of 1487.7 %².

By 3-year correlation, PZZA places #5 of the 14 assets tracked against MATH. Correlation aside, the last 12 months split them widely, with PZZA ahead by 20.4 points (-70.7% versus -50.3%). One caveat on sizing: MATH is 1.9 times as volatile as the other leg, so an equal-dollar split is far from equal-risk.

How is this computed?

Pearson correlation on weekly returns: ρ(A,B) = cov(rA, rB) / (σA · σB), over windows of 52, 156 and 260 weeks. Covariance is annualized (×52) and expressed in %². Full definitions on the methodology page.

MATH vs PZZA: side by side

MATH (Metalpha Technology Holding Limited)PZZA (Papa John's International, Inc.)
1-year return-70.7%-50.3%
5-year return-40.4%-78.5%
Volatility (ann.)90.1%48.3%
Beta vs S&P 5000.530.83
Max drawdown (3Y)-81.9%-66.8%
Market cap$0.8B
P/E (trailing)41.729.0
Dividend yield0.00%7.79%
Sector / categoryUS ListedUS Listed
Lower P/E: PZZA 29.0 vs 41.7Higher yield: PZZA 7.79% vs 0.00%Smaller drawdown: PZZA -66.8% vs -81.9%Higher 5y return: MATH -40.4% vs -78.5%
-76%0%+15%2025-09-052026-08-27
Price paths over the last 12 months, both indexed to 100 at the start (weekly closes). MATH · PZZA

Year-by-year returns

YearMATHPZZA
2022-57.4%-37.3%
2023+323.3%-5.3%
2024-47.2%-44.2%
2025+82.6%-2.0%
2026-60.3%-38.0%

Calendar-year price returns; the current year is year-to-date as of the data date above.

Are MATH and PZZA good diversifiers for each other?

Reasonably. At 0.34, MATH and PZZA keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.

FAQ

What is the correlation between MATH and PZZA?

As of 2026-08-27, the correlation of weekly returns between MATH and PZZA is 0.34 over 3 years, 0.12 over 1 year and 0.29 over 5 years.

Is PZZA a good diversifier for MATH?

Reasonably. At 0.34, MATH and PZZA keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.

What does a correlation of 0.34 mean?

A reading of 0.34 sits on a scale from −1 (opposite moves) through 0 (unrelated) to +1 (identical moves). Correlation captures direction, not magnitude or performance.

Use this data

JSON API · no key required
$ curl https://www.pairbook.io/api/v1/pairs/math-vs-pzza.json

MATH vs PZZA: 3-year weekly correlation 0.34MATH vs PZZA0.34

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Related comparisons

Hubs: MATH correlations · PZZA correlations